坦桑尼亚乞力马扎罗山地区裂谷热的季节性传播动态

Kevin M Rwegoshola, Richard S Mwakapuja, Sixbert I Mkumbaye, Pendo M Ibrahim, Hadija S Semvua, Pius G Horumpende, Jaffu O Chilongola
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摘要

背景:裂谷热是一种影响动物和人类的人畜共患疾病。在报告不足的情况下,该病表现出的广泛症状造成的误诊,以及获得快速和准确的实验室确认的机会有限,导致裂谷热负担不明。现有报告显示,该病毒在流行间期传播,这意味着裂谷热病毒存在地方性传播。本研究旨在确定裂谷热病毒在年度季节的传播情况以及与裂谷热病毒暴露独立相关的人口统计学因素。方法:于2020年1月至12月在乞力马扎罗州莫希区下莫希地区进行了长雨季、短雨季和旱季的重复血清调查。目的是确定人类抗裂谷热病毒抗体的血清流行率和与血清阳性相关的因素。采用竞争性酶联免疫吸附法(cELISA)检测裂谷热抗体。采用Stata统计软件15版进行数据分析。描述性统计进行,其中分类变量汇总使用频率和百分比。数值变量使用中位数和四分位数范围进行汇总。采用Logistic回归评估与裂谷热血清阳性相关的因素。结果:共有446人参与了分析。裂谷热血清患病率在雨季最高(20.4%),在旱季最低(4%)。裂谷热的总年血清患病率为12.8%。季节、参与者年龄和特定家庭的大量居民被发现与裂谷热血清阳性显著相关(p < 0.05)。结论:在乞力马扎罗山地区下莫希地区存在裂谷热病毒的地方性流行,提示该地区可能是裂谷热病毒的热点地区。根据这项研究的结果,我们建议在研究地区和坦桑尼亚具有类似生态的其他地区密切监测裂谷热,作为防范未来无法预测的裂谷热暴发的手段。
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Seasonal Transmission Dynamics of Rift Valley Fever in Kilimanjaro Region, Tanzania
Background: Rift Valley Fever (RVF) is a zoonotic disease that affects both animals and humans. Under reporting, misdiagnosis caused by the broad spectrum of symptoms presented by the disease, and limited access to rapid and accurate laboratory confirmation have led to an undefined burden of RVF. Reports are available that show the circulation of the virus during inter-epidemic periods, implying an endemic circulation of RVFV. This study aimed to determine RVFV transmission across annual seasons and demographic factors that are independently associated with exposure to RVFV. Methodology: Repeated serosurveys were performed during the long rainy, short rainy, and dry seasons in Lower Moshi area of Moshi district, Kilimanjaro region from January to December 2020. The goal was to determine seroprevalence against RVFV antibodies in humans and factors associated with seropositivity. Detection of RVF antibody was performed by competitive Enzyme-Linked Immunosorbent Assays (cELISA) using serum samples. Stata statistical software version 15 was used for data analysis. Descriptive statistics was carried out, whereby categorical variables were summarised using frequencies and percentages. Numeric variables were summarised using median and interquartile range. Logistic regression was used to assess factors associated with RVF seropositivity. Results: A total of 446 individuals were involved in the analysis. RVF seroprevalence was highest during rainy season (20.4%) and lowest in the dry season (4%). The overall annual seroprevalence of RVF was 12.8%. Season, participant age, and large number of residents in a given household were found to be significantly associated with RVF seropositivity (p<.05). Conclusion: RVFV demonstrates an endemic circulation in Lower Moshi area of Kilimanjaro region, suggesting the site is a potential RVF hotspot. Based on this study’s findings, we recommend close surveillance of RVF in the study area and other areas with similar ecology in Tanzania as a means of preparedness for future unpredicted RVF outbreaks.
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